The project involves developing a low fidelity minimum viable product (MVP) for PriceScout, an AI-powered price comparison application. PriceScout aims to empower consumers by providing them with the best prices on products across various retailers. The application will utilize advanced algorithms to analyze market data, offering a valuable tool for savvy shoppers. The goal is to create a functional prototype that demonstrates the core features of PriceScout, such as price comparison, retailer listings, and user-friendly interface design. This project will allow learners to apply their knowledge of app development, AI algorithms, and user experience design. The focus will be on creating a streamlined, efficient, and intuitive application that meets the needs of modern consumers.

The deliverables for this project include a low fidelity prototype of the PriceScout app, showcasing its core functionalities. The team will provide a detailed report outlining the app's architecture, algorithm design, and user interface. Additionally, a presentation will be prepared to demonstrate the app's features and potential market impact. The project will culminate in a functional prototype that highlights the app's ability to compare prices effectively.